mod

<a href="https://cognitum.one/agentic-engineering"><img src="ruflo/assets/ruflo-neon-flicker.gif" alt="Ruflo animated neon sign" width="100%"></a>

An agent meta-harness for Claude Code and Codex.

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<a href="data/npm-downloads.latest.json"><img src="docs/assets/readme/badges/downloads.svg?v=mobile-readable-3" width="300" alt="Ecosystem npm downloads: 12.52M over 12 months through October 4, 2026"></a> <a href="https://github.com/ruvnet/claude-flow"><img src="docs/assets/readme/badges/claude.svg?v=mobile-readable-3" width="300" alt="Claude Code"></a> <a href="https://www.npmjs.com/package/@claude-flow/codex"><img src="docs/assets/readme/badges/codex.svg?v=mobile-readable-3" width="300" alt="Codex Plugin"></a>

<a id="start-here"></a>

<img src="docs/assets/readme/icons/terminal.svg" width="32" height="32" alt=""> Get started with Ruflo

<img src="docs/assets/readme/icons/plugins.svg" width="28" height="28" alt=""> Start in Claude Code with core tools, the visual console and runtime mods. Requires Claude Code 2.1.287 or later. Run inside Claude Code:

/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-core@ruflo
/plugin install ruflo-console@ruflo
/plugin install ruflo-mods@ruflo
/reload-plugins
/ruflo

Core provides foundation tools. Console opens the agent cockpit. Mods add routing and policy enforcement inside Claude Code. Mods run with your account's permissions; review their code before installing.

<img src="docs/assets/readme/icons/terminal.svg" width="28" height="28" alt=""> Using Codex or another MCP enabled tool? Use NPX for Ruflo project setup and connect your client to the Ruflo MCP server. Run the setup wizard in your project terminal:

npx ruflo@latest init wizard

For clients that support local stdio MCP servers, configure command npx and arguments ["-y", "ruflo@latest", "mcp", "start"]. The equivalent server command is:

npx -y ruflo@latest mcp start

MCP exposes Ruflo tools to your client. The console and mods above are Claude Code integrations; hook support depends on the client.

Compare install paths · Open the console · User guide

Optional: ruOS Desktop

<a href="https://ruos.cognitum.one"><img src="ruflo/assets/ruos-animated.svg" alt="ruOS — A desktop that runs itself" width="100%"></a>

Connect ruOS to ChatGPT or Claude via MCP:

https://ruos.cognitum.one/mcp

<!-- RuVector promo --> <a href="https://github.com/ruvnet/ruvector"><img src="docs/assets/readme/ruvector-promo-depth.svg" width="100%" alt="RuVector: Give your agents memory. Local vector search, persistent context, graph relationships and feedback learning. Explore RuVector."></a>

npx ruvector

Ruflo

English · 简体中文

📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.

Agent = Model + Harness. The model writes; the harness gives it tools, memory, loops, sandboxes, and controls so it can actually work. Ruflo is the harness — the execution layer around Claude Code and Codex that adds 100+ specialized agents, coordinated swarms, self-learning memory, federated comms across machines, and enterprise security guardrails. So agents don't just run, they collaborate.

One npx ruflo init gives Claude Code a nervous system: agents self-organize into swarms, learn from every task, remember across sessions, and — with federation — securely talk to agents on other machines without leaking data. You keep writing code. Ruflo handles the coordination.

_{Conceptual learning loop. Local vector retrieval and contrastive updates can run without an LLM; embeddings and configured learning modules are still required. See the <a href="v3/@claude-flow/cli/src/services/ruvector-training.ts">RuVector training integration</a> and <a href="v3/@claude-flow/neural/src/modes/balanced.ts">trajectory contrastive learning</a>.}

User → Ruflo (CLI/MCP) → Router → Swarm → Agents → Memory → LLM providers. Memory feeds useful experience back into routing. This is a conceptual flow, not a live execution trace.

New to Ruflo? You don't need to learn 314 MCP tools or 26 CLI commands. After init, just use Claude Code normally — the hooks system automatically routes tasks, learns from successful patterns, and coordinates agents in the background.

Claude Flow is now Ruflo — named by rUv, who loves Rust, flow states, and building things that feel inevitable. The "Ru" is the rUv. The "flo" is working until 3am. Underneath, powered by Cognitum.One agentic architecture, running a supercharged Rust-based AI engine, embeddings, memory, and plugin system.

<img src="docs/assets/readme/console-icon-workflows.svg" width="28" height="28" alt=""> Your agent cockpit. Track workflows, agents, models, tokens and cost beside Claude Code. The animation shows startup checks and a sample workflow, not a live session.

<img src="docs/assets/readme/console-icon-inspect.svg" width="28" height="28" alt=""> Inspect any run. Open agent logs and results, search, triage failures, replay and compare. Start with npx ruflo init, restart Claude Code, then /ruflo. Full console tour.

<img src="docs/assets/readme/console-icon-control.svg" width="28" height="28" alt=""> Let Claude drive. You set the limits. Enable Settings → Claude control to navigate and run console actions. Choose read, write, manage or full, with ask or auto approval. The current default is read + ask; raising the level is your choice. Actions above your permission level are refused, and network, spending and destructive actions require confirmation even in auto. Review the live action log or press Take back control to stop Claude control. Details.

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One task: create a mission with Claude

<img src="docs/assets/readme/console-icon-workflows.svg" width="28" height="28" alt=""> Watch the recorded console session below. Claude creates a mission, opens the Learning and Security pages, and reports its actions in Overview.

1. Set the boundary. Install the console using the commands below, open /ruflo, then choose Settings → Claude control → write + ask.
2. Give a concrete request. Try: “Create a mission to add a dark mode toggle. Show me the mission and its status.”
3. Approve creation. Claude opens Missions and sets the goal. Confirm the pending create action in the console.
4. Verify the result. Check that Missions contains the goal and Overview records the action. Creating a mission does not mean the feature has been implemented.
5. Keep control. Take back control pauses Claude's console tools. A later call should be refused until you restore control.

What the recording demonstrates: a real Claude Haiku session with write + auto, mission creation, page navigation, a refused swarm stop, and control being taken back. The steps above use ask so you approve creation yourself. The separate workflow animation uses sample data; neither is evidence of completed swarm work or memory recall.

Implementation and recorded test findings · Reproduction script

Install the mods from the ruflo marketplace (Claude Code 2.1.287 or later; mods run with your account's permissions and are not sandboxed, so read the code first):

/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-console@ruflo
/plugin install ruflo-mods@ruflo
/reload-plugins

ruflo-console is the cockpit above, ruflo-mods routes prompts and enforces policy in-process, ruflo-swarm shows the swarm in a pane, and ruflo-ruos adds the ruOS status segment. Open /plugin to confirm they appear in the active mods line. Inside the console, /ruflo market is the Plugin Catalog: every ruflo plugin, mod and skill with what it ships, and buttons to install, enable, disable and update (each asks first).

Quick Start

There are two different install paths with very different surface areas. Pick based on what you need (#1744):

Path A — Claude Code Plugins (lite, slash commands only)

# Add the marketplace
/plugin marketplace add ruvnet/ruflo

# Install core + any plugins you need
/plugin install ruflo-core@ruflo
/plugin install ruflo-swarm@ruflo
/plugin install ruflo-rag-memory@ruflo
/plugin install ruflo-neural-trader@ruflo

This adds slash commands and agent definitions. ruflo-core (installed above) does register its own MCP server on install — its tools are callable as mcp__plugin_ruflo-core_ruflo__* (e.g. mcp__plugin_ruflo-core_ruflo__memory_store), not the bare memory_store/swarm_init/agent_spawn names the CLI-track scaffold uses. Other plugins generally don't ship their own MCP server. For the full loop with the CLI-track tool names, use Path B below.

Core & Orchestration

Memory & Knowledge

Intelligence & Learning

Code Quality & Testing

Security & Compliance

Architecture & Methodology

DevOps & Observability

Extensibility

Domain-Specific

<img src="docs/assets/readme/icons/terminal.svg" width="28" height="28" alt=""> CLI Install

macOS / Linux / WSL / Git-Bash:

# One-line install (POSIX shells only — see Windows note below)
curl -fsSL https://cdn.jsdelivr.net/gh/ruvnet/ruflo@main/scripts/install.sh | bash

All platforms (including native Windows PowerShell / cmd):

# Interactive setup wizard — runs identically on every platform
npx ruflo@latest init wizard

# Quick non-interactive init
# npx ruflo@latest init

# Or install globally
npm install -g ruflo@latest

💡 Windows users: the curl ... | bash form needs a POSIX shell (Git-Bash, WSL, MSYS). The npx ruflo@latest init wizard line works natively in PowerShell and cmd. If you hit an 'bash' is not recognized error, use the npx line instead — both end up running the same init flow.

<img src="docs/assets/readme/icons/network.svg" width="28" height="28" alt=""> MCP Server

# Add Ruflo as an MCP server in Claude Code
claude mcp add claude-flow -- npx ruflo@latest mcp start

What You Get

<table> <tr><td width="50%"><a href="plugins/ruflo-swarm/README.md"><img src="docs/assets/readme/card-swarm.svg" width="100%" alt="Agent teams"></a></td><td width="50%"><a href="plugins/ruflo-rag-memory/README.md"><img src="docs/assets/readme/card-memory.svg" width="100%" alt="Persistent memory"></a></td></tr> <tr><td width="50%"><a href="plugins/ruflo-intelligence/README.md"><img src="docs/assets/readme/card-learning.svg" width="100%" alt="Learning loops"></a></td><td width="50%"><a href="plugins/ruflo-security-audit/README.md"><img src="docs/assets/readme/card-security.svg" width="100%" alt="Security controls"></a></td></tr> <tr><td width="50%"><a href="https://ruvnet.github.io/ruflo"><img src="docs/assets/readme/card-plugins.svg" width="100%" alt="Plugin marketplace"></a></td><td width="50%"><a href="plugins/ruflo-ruvllm/README.md"><img src="docs/assets/readme/card-routing.svg" width="100%" alt="Models and routing"></a></td></tr> </table>

<img src="docs/assets/readme/icons/learning.svg" width="28" height="28" alt=""> Learning from experience

Useful trajectories and task feedback can inform future work. Results depend on the configured memory, learning components and quality of feedback. Learning plugin.

Agent Federation — Slack for Agents

Slack gave teams channels. Federation gives agents the same thing — shared workspaces across trust boundaries, where agents on different machines, orgs, or cloud regions can discover each other, prove who they are, and collaborate on tasks.

The difference: some channels are trusted, some aren't. @claude-flow/plugin-agent-federation handles that automatically. Your agents join a federation, get verified via mTLS + ed25519, and start exchanging work — with PII stripped before anything leaves your node and every message auditable. Untrusted agents can still participate at lower privilege: they see discovery info, not your memory. As they prove reliable, trust upgrades. If they misbehave, they get downgraded instantly — no human in the loop required.

You don't configure handshakes or manage certificates. You federation init, federation join, and your agents start talking. The protocol handles identity, the PII pipeline handles data safety, and the audit trail handles compliance.

📘 Full user guide: docs/federation/ — setup, MCP tools, trust levels, circuit breaker, and the (opt-in) WireGuard mes